Models_based_on_digital_image_processing_test

应用程序，寻找出与训练集中头像图片相同的图片，并显示结果(Applications, find out the same picture picture picture with the training set, and displays the results)

背景建模和前景分割的方式把运动车辆提取出来。并进行最近临关联，输出目标轨迹。 MeanShift运动目标跟踪 matlab程序 1.截取跟踪目标矩阵rect 2.求取跟踪目标的加权直方图hist1 3.读取视频序列中的一帧， 先随机取一块与rect等大的矩形，计算加权直方图hist2。 4.计算两者比重函数，如果后者差距过大， 更新新的矩阵中心Y，进行迭代（MeanShift是一种变步长可以迅速接近概率密度峰值的方法），直至一定条件后停止。 这两种算法为处理图像跟踪的基本方法 (Background modeling and foreground segmentation the extracted moving vehicles. Pro associated output and the target locus. Target tracking matlab program MeanShift movement. Interception tracking the target matrix rect strike a tracking target weighted histogram hist1 3. Reads a video sequence, randomly take a with the rect large rectangular, calculate the weighted histogram hist2. 4. Calculate both the proportion of function, if the latter gap is too large to update the new center of the matrix Y conducted the iteration (MeanShift is a variable step size can be rapidly approaching the peak of the probability density) until certain conditions to stop. The basic method of these two algorithms for processing the image tracking)

图像融合程序，用以提取图像的高分辨率部分，实现图像的清晰化(image fusion procedure to extract high-resolution images, the images clearer)

利用matlab来实现人脸识别，人脸识别模板匹配，(Face Recognition Template Matching)

说明：  可改变中心时移，相位，主频的雷克子波，自己在源程序上加减时间，改变主频，加减相位即可(ricker wavelet which time,phase and frequence can be changed )

对脉搏波的波峰波谷以及重搏波拐点的检测，挺好用的。。(On the pulse wave dicrotic wave peaks and valleys as well as the inflection point detection, very good use. .)

说明：  视频追踪ECO算法源代码以及ECO论文PDF(Video tracking eco algorithm and eco paper pdf)

这篇论文对于Gabor小波分析的说明特别详细，非常有利于我们理解(This paper is particularly detailed for the description of Gabor wavelet analysis, which is very helpful to our understanding.)

书上的简单DCT图像处理程序，最基本的DCT，简单，价值低(Book on the simple DCT image processing program, the most basic DCT, simple, low value)

Labwindows/CVI实现了常见的数字图形处理算法，如滤镜，正交表换 边缘检测等(Common digital graphics processing algorithms, such as filters, orthogonal change of edge detection)